University athletes face substantial academic, physical, and psychosocial pressures that may heighten vulnerability to psychological distress, despite the perceived mental health benefits of sports participation. This study aimed to determine the prevalence of depression, anxiety, and stress among university athletes in Bangladesh and to examine how these conditions are associated with lifestyle and sociodemographic factors. This cross-sectional study was conducted from March to September 2025 among 249 university athletes aged 18–26 years at six randomly selected universities in Bangladesh. Data were collected online and in person. Psychological distress was assessed with the Depression, Anxiety, and Stress Scale-21 (DASS-21), and health-promoting lifestyle behaviors were evaluated with the Health-Promoting Lifestyle Profile II (HPLP-II). Descriptive statistics, chi-square tests, Mann–Whitney U tests, Spearman’s correlations, and binary logistic regression analyses were conducted. The prevalence of depression, anxiety, and stress was 42.6
Depression is a leading cause of disability worldwide, yet it remains frequently under-recognised because diagnosis relies on self-report and clinical interviews that are subjective, stigma-sensitive and resource-intensive, particularly in low-resource settings. This narrative review examines artificial intelligence (AI) approaches for detecting depression from text and clinical records (including large language models), speech and acoustic signals, facial behaviour, electroencephalography (EEG) and multimodal combinations. PubMed/MEDLINE, Embase, PsycINFO, Scopus, IEEE Xplore and the ACM Digital Library, supplemented by the ACL Anthology, arXiv and citation searching, were searched for studies published between January 2015 and August 2026, and studies were appraised for sample size, data modality, reference standard and validation strategy. Across modalities, many studies report accuracies above 80
The Fukushima Daiichi Nuclear Power Plant (FDNPP) accident in 2011 caused indirect adverse health effects, culminating in death, including suicide, in some cases. Japan compensates indirect disaster-related deaths under a legally enshrined condolence grant system. However, research on suicides among indirect disaster-related deaths in areas affected by radiation or nuclear disasters is limited. This study investigated such suicide cases in Minamisoma City, Fukushima Prefecture, a region heavily affected by the accident following the Great East Japan Earthquake. The objective was to elucidate the characteristics and circumstances surrounding suicide after a nuclear disaster, contributing to prevention strategies for future nuclear emergencies. Retrospective observational case series. Minamisoma City, Fukushima Prefecture. 17 suicide cases among the 520 indirect disaster-related deaths certified between 2011 and 2022. Suicide related to the FDNPP accident. Data were collected from the Minamisoma City Hall office records. The average age at suicide was 57.2 years, which was notably younger than that of the overall indirect disaster-related death population (mean age: 82.7 years). Male suicides accounted for more than two times the number of female suicides. Suicides occurred not only shortly after the disaster but also years later, clustering within 200 days, 1–2 years, and beyond 4 years post-disaster. Nearly all cases (94.1
Artificial intelligence (AI) is increasingly promoted as a transformative response to the global mental health crisis, particularly in contexts where professional services remain scarce and unevenly distributed. Yet the dominant innovation narrative often overlooks the relational, epistemic, and structural conditions that shape whether AI can produce meaningful and equitable mental health outcomes. This conceptual perspective reconceptualizes AI in digital mental health through an integrative framework of innovation, illusion, and inequality. Rather than offering a systematic, scoping, or meta-analytic review, this article develops a theory-building synthesis that integrates literature on AI-enabled service expansion, artificial empathy, therapeutic alliance, algorithmic bias, and Global South inequalities. The framework argues that AI may expand access and scalability, but its effectiveness is constrained by the illusion of empathy, the limits of computational understanding, and the unequal distribution of digital infrastructure, data representation, and governance capacity. Drawing on socio-technical and health equity perspectives, the article positions AI not as a neutral clinical tool but as a system embedded within global power asymmetries. The contribution of this article lies in synthesizing fragmented debates into a context-sensitive conceptual model that explains how innovation, illusion, and inequality interact to shape user engagement, therapeutic quality, and mental health outcomes. This perspective calls for AI implementation that is clinically cautious, culturally responsive, ethically governed, and oriented toward equity rather than efficiency alone. Not applicable.
Adolescent mental health has become a central concern for school communities, which must address distress, emotional crises, requests for support, and decisions about how to assist students. This study analyzes social representations of adolescent mental health in Chilean secondary school communities, focusing on meanings, explanatory frameworks, and responses. An interpretive qualitative study was conducted using individual interviews and focus groups with 118 participants, including students (n = 48), teachers (n = 41), and parents/caregivers (n = 29) from diverse locations in Chile. The material was analyzed through reflexive thematic analysis to identify patterns of meaning, nuances, and tensions across participant groups. The findings indicate that adolescent mental health is represented both in terms of emotional well-being and through problems, diagnoses, treatments, and specialized care. Contemporary adolescents are described as more open to recognizing and expressing distress, although adult participants also interpreted this openness as potentially associated with greater vulnerability or reduced tolerance of frustration. Adolescent mental health was represented as a widespread contemporary problem, but participants differed in how they interpreted its apparent novelty, also linking its increased visibility to greater recognition and openness toward previously overlooked forms of distress. Family relationships and social media emerged as particularly salient contextual frameworks for explaining adolescent distress. At the same time, individualized and professionally mediated responses were more clearly articulated than relational, pedagogical, or broader institutional alternatives. Overall, the findings highlight a tension within the representational field between predominantly relational and social explanations of adolescent distress and a comparatively individualized repertoire of responses. Clinical trial number: Not applicable.
